# huaweicloud/ModelArts-Lab

ModelArts-Lab是示例代码库。更多AI开发学习交流信息，请访问华为云AI开发者社区：huaweicloud.ai

Repository: https://github.com/huaweicloud/ModelArts-Lab
Canonical: https://ross.abutalabs.com/products/modelarts-lab
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-08-25T12:00:17+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 2674, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1044, forks 849 (observed 2026-08-28T04:03:21.322487+00:00)

## What it is
A collection of example code and datasets for learning AI development on Huawei Cloud's ModelArts platform. It covers ExeML (no-code model building), Notebook-based interactive development, and end-to-end training and deployment workflows.

## Use cases
- learn machine learning on huawei cloud modelarts
- train and deploy image classification models without coding
- jupyter notebook tutorials for ai beginners
- end-to-end model training and deployment examples
- object detection and sound classification sample code
- ai course materials for teaching

## When to choose
- you are learning AI development on the Huawei Cloud ModelArts platform
- you want guided, hands-on notebooks covering training to deployment
- you need no-code ExeML examples for image, sound, or prediction tasks

## When to avoid
- you use AWS, Azure, GCP, or other non-Huawei cloud platforms
- you need production-grade libraries or SDKs rather than tutorial code
- you require datasets for commercial use - the included datasets are learning-only

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, data-science
- domain: machine-learning, deep-learning, tutorials, cloud-computing, computer-vision
- platform: python, cloud
- tags: huawei-cloud, modelarts, jupyter-notebook, ai-gallery, sample-code, model-training, model-deployment, exeml, web-server

## Member repositories
- huaweicloud/ModelArts-Lab (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:21.322487+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:02:13.717908+00:00, confidence not recorded.
  - readme: https://github.com/huaweicloud/ModelArts-Lab (fetched 2026-08-28T04:03:21.322487+00:00, sha fadcb7c34af4)
- Data as of 2026-08-30T08:39:29.467469+00:00.